SOTA2 Research · papers

Papers for “coco”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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20 indexed

Title	Authors	Year	Source
Data Augmentation using Random Image Cropping and Patching for Deep CNNs	Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara	2018	arxiv 1811.09030
AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices	Marina Neseem, Sherief Reda	2021	arxiv 2108.06850
Pointly-Supervised Panoptic Segmentation	Junsong Fan, Zhaoxiang Zhang, Tieniu Tan	2022	arxiv 2210.13950
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering	Kan Chen, Jiang Wang, Liang-Chieh Chen	2015	arxiv 1511.05960
What Object Should I Use? - Task Driven Object Detection	Johann Sawatzky, Yaser Souri, Christian Grund	2019	arxiv 1904.03000
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression	Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak	2019	arxiv 1902.09630
Revisiting Feature Alignment for One-stage Object Detection	Yuntao Chen, Chenxia Han, Naiyan Wang	2019	arxiv 1908.01570
SCNet: Training Inference Sample Consistency for Instance Segmentation	Thang Vu, Haeyong Kang, Chang D. Yoo	2020	arxiv 2012.10150
EfficientDet: Scalable and Efficient Object Detection	Mingxing Tan, Ruoming Pang, Quoc V. Le	2019	arxiv 1911.09070
Revisiting Graph Construction for Fast Image Segmentation	Zizhao Zhang, Fuyong Xing, Hanzi Wang	2017	arxiv 1702.05650
Task-driven Visual Saliency and Attention-based Visual Question Answering